corPredictionSuccess

This function calculates the success of gene screening.

 misc 

Functions necessary to perform Weighted Correlation Network Analysis on high-dimensional data as originally described in Horvath and Zhang (2005) <doi:10.2202/1544-6115.1128> and Langfelder and Horvath (2008) <doi:10.1186/1471-2105-9-559>. Includes functions for rudimentary data cleaning, construction of correlation networks, module identification, summarization, and relating of variables and modules to sample traits. Also includes a number of utility functions for data manipulation and visualization.

Peter Langfelder

WGCNA

Weighted Correlation Network Analysis

Steve Horvath

Chaochao Cai

Jun Dong

Jeremy Miller

Lin Song

Andy Yip

Bin Zhang

corPredictionSuccess function

<dl> <dt>corPrediction</dt>
<dd>a vector or a matrix of prediction statistics</dd> <dt>corTestSet</dt>
<dd>correlation or other statistics on test set</dd> <dt>topNumber</dt>
<dd>a vector of the number of top genes to consider</dd></dl>

Arguments

Author

Qunatification of success of gene screening — corPredictionSuccess

<dl>

 <dt>corPrediction</dt>
<dd>a vector or a matrix of prediction statistics</dd>

 <dt>corTestSet</dt>
<dd>correlation or other statistics on test set</dd>

 <dt>topNumber</dt>
<dd>a vector of the number of top genes to consider</dd>

</dl>

Qunatification of success of gene screening

corPredictionSuccess: Qunatification of success of gene screening

Description

Usage

Value

Arguments

Author

Details

See Also